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Abstract

Summary

Technological advancements result in the continuous development of geophysical acquisition systems allowing for an ever-increasing amount of data recorded within a distinct time period. Current airborne geophysical databases covering intermediate sized survey areas comprise usually billions of digital readings. The sheer size of the available amount of information and rapid data acquisition capacities are increasing the pressure on Earth scientists to accelerate the data processing and information extraction procedures. We review the strength and weaknesses of current classical data analysis and integration approaches relying heavily on the skills and experience of a human interpreter and statistical approaches analyzing data sets strictly numerically. We highlight the need to develop new and intelligent data mining approaches suitable to combine and learn the strengths of the statistical and classical data analysis and integration approaches which may bear the potential to advance our understanding of geological processes and interrelations.

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/content/papers/10.3997/2214-4609.201411996
2015-03-27
2024-04-24
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References

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